Audio and podcasting decision

Speechify

A competent developer can build a useful web TTS replacement (upload, play, download, basic voices) in about a week, but Speechify's scale, large proprietary/celebrity voice catalog, native apps, and brand reach are not easily reproduced—so building a narrower DIY alternative is sensible, while keeping the paid product for full-featured voice catalogs and cross-platform polish.

Visit website
You pay

$29/mo

$348/yr

Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$50/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 2 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Speechify alternatives, with the arithmetic →

What a replacement has to do

  • Upload or paste text → select voice & language → synthesize audio → play and download audio (optionally save document).

What it still won’t have

  • Large catalog of 1000+ proprietary/celebrity voices and custom studio voices
  • Cross-platform native apps (iOS, Android, macOS, Windows) and browser extensions
  • Advanced voice-cloning, dubbing, studio captions, and enterprise features
  • AI assistant conversational QA across user documents and advanced meeting agents

What remains hard

  • Brand trust2025 Apple Design Award
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 2 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal Speechify-like web app using React for the frontend, Node.js + Express for the backend, and Postgres for user/document storage. In scope: paste/upload text (PDF/DOCX/TXT/EPUB), extract text server-side, present voice/language selector, call a third-party TTS API (configurable via env var) to produce MP3/OGG, stream playback in-browser, allow audio download, and save documents and user preferences. Out of scope: mobile native apps, celebrity/custom voice licensing, voice cloning, enterprise SSO/billing. Include robust error handling, request retries, per-user rate limits, simple JWT auth, Dockerized deployment, CI tests (unit for parsing & TTS integration, end-to-end for upload→playback), and an infra cost estimate for production (small VPS or managed service).
How we checked5 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page